FORMLABS WHITE PAPER:
How to 3D Print Anatomical Models for Preoperative Planning and Enhanced Patient Consent
An Introduction for Physicians and Professional Users
Patient-specific 3D printed anatomical models are becoming increasingly useful tools in today’s practice of precision medicine. As medical CAD/CAM software and 3D printers become more accessible, healthcare providers across the globe are using high-accuracy 3D printed models for preoperative planning, enhanced patient consent, intraoperative visualization, and sizing or pre-fitting medical equipment for both routine and highly complex procedures.
This white paper offers a practical walkthrough for physicians and technologists to get started creating 3D printed anatomicals models from patient scans, reviewing best practices for setting up a CT/MRI scan, segmenting datasets, and converting files to a 3D-printable format.
Download the white paper to learn:
- The benefits of 3D printed anatomical models for preoperative planning and enhanced patient consent in various surgical specialties and fields, including orthopedic, cardiothoracic, vascular, oral and maxillofacial, oncology, plastics, reconstructive, urology, pediatric, and interventional radiology
- The step-by-step process from MR/CT scan to accurate, patient-specific 3D model using Formlabs' Form 2 3D printer and third-party medical imaging software
- Criteria for imaging and post-processing, and the equipment required to produce 3D models from standard radiologic images
Questions? Contact us to learn more about introducing 3D printing into your institution.
Formlabs is an industry-leading provider of 3D printers and materials that are used by healthcare providers to support the practice of medicine. Please consider local regulations, material data sheets, patient information, and institutional requirements before 3D printing or using anatomical models. For more information, visit our regulatory information page.
Fill out the form to learn more about 3D printing anatomical models from patient scans.